A Review on Color Constancy Based Image Enhancement
نویسندگان
چکیده
Color Constancy is the capability to recognize colors of objects, invariant to the color of the illumination source. This ability is usually endorsed to the Human Visual System, even though the precise details remain hesitant. Visual surveillance is one of the applications of color constancy which aims to improve the reliability of applications that depend on consistent color descriptions. Also Image enhancement plays a substantial role in vision based applications. Recently significant work is done in the field of digital image enhancement. Many techniques have been proposed up to now for enhancing the poor quality or low intensity images. It has been discovered that a lot of the active techniques are based on the transform domain methods which might introduce the color artifacts and also might decrease the intensity of the already enhanced image. The overall objective of this paper is to review various image enhancement and color constancy techniques. This paper also defines the scope of color constancy in the image enhancement.
منابع مشابه
An Efficient Underwater Image Enhancement Using Color Constancy Deskewing Algorithm
The objective of image enhancement is to recover the perception of information in underwater images for human viewers, or to provide recovered input for other automated image processing techniques. In underwater conditions, the image clarities are corrupted by light inclusion and diffusion. This causes one colour to dominate the image. In order to enhance the observation of underwater images, w...
متن کاملStatic Filtered Sky Color Constancy
In Computer Vision, the sky color is used for lighting correction, image color enhancement, horizon alignment, image indexing, and outdoor image classification and in many other applications. In this article, for robust color based sky segmentation and detection, usage of lighting correction for sky color detection is investigated. As such, the impact of color constancy on sky color detection a...
متن کاملEnhanced Color Correction Using Histogram Stretching Based On Modified Gray World and White Patch Algorithms
Color constancy is the capability to determine colors of objects independent of the color of the light source. This paper deals with the different color constancy algorithms to evaluate the performance of existing color constancy algorithms. The combined effect of two color constancy algorithms i.e. White Patch Retinex (WPR) and Gray World (GW) and gamma correction used for dynamic range correc...
متن کاملPerceptually Motivated Automatic Color Contrast Enhancement Based on Color Constancy Estimation
We address the problem of contrast enhancement for color images. Our method to enhance images is inspired from the retinex theory. We try to estimate the illumination and separate it from the reflectance component of an image. We use denoising techniques to estimate the illumination and while doing so achieve color constancy. We enhance only the illumination component of the image. The paramete...
متن کاملColor Dog - Guiding the Global Illumination Estimation to Better Accuracy
An important part of image enhancement is color constancy, which aims to make image colors invariant to illumination. In this paper the Color Dog (CD), a new learning-based global color constancy method is proposed. Instead of providing one, it corrects the other methods’ illumination estimations by reducing their scattering in the chromaticity space by using a its previously learning partition...
متن کامل